"Bayesian network" meaning in English

{
  "etymology_text": "Named after Thomas Bayes (1701–1761), English mathematician.",
  "forms": [
    {
      "form": "Bayesian networks",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "Bayesian network (plural Bayesian networks)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
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          "kind": "other",
          "name": "English entries with language name categories using raw markup",
          "parents": [
            "Entries with language name categories using raw markup",
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          "source": "w"
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        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Statistics",
          "orig": "en:Statistics",
          "parents": [
            "Formal sciences",
            "Mathematics",
            "Sciences",
            "All topics",
            "Fundamental"
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        }
      ],
      "glosses": [
        "A directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies. Each random variable can fall into any of at least two mutually disjoint states, and has a probability function which takes as inputs the states of its parent nodes and returns as output the probability of being in a certain state for a given combination of the states of its parent nodes. A node without parent nodes just has an unconditioned probability of being in some given state."
      ],
      "hypernyms": [
        {
          "word": "graphical model"
        },
        {
          "word": "probabilistic graphical model"
        }
      ],
      "id": "en-Bayesian_network-en-noun-Pd0x1GPo",
      "links": [
        [
          "statistics",
          "statistics"
        ],
        [
          "random variable",
          "random variable"
        ],
        [
          "conditional",
          "conditional probability"
        ]
      ],
      "raw_glosses": [
        "(statistics) A directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies. Each random variable can fall into any of at least two mutually disjoint states, and has a probability function which takes as inputs the states of its parent nodes and returns as output the probability of being in a certain state for a given combination of the states of its parent nodes. A node without parent nodes just has an unconditioned probability of being in some given state."
      ],
      "topics": [
        "mathematics",
        "sciences",
        "statistics"
      ],
      "wikipedia": [
        "Bayesian network",
        "Thomas Bayes"
      ]
    }
  ],
  "sounds": [
    {
      "ipa": "/ˈbeɪ.zjən ˈnɛt.wɜːk/",
      "tags": [
        "UK"
      ]
    },
    {
      "ipa": "/ˈbeɪ.zjən ˈnɛt.wɝk/",
      "tags": [
        "US"
      ]
    }
  ],
  "word": "Bayesian network"
}

{
  "etymology_text": "Named after Thomas Bayes (1701–1761), English mathematician.",
  "forms": [
    {
      "form": "Bayesian networks",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "Bayesian network (plural Bayesian networks)",
      "name": "en-noun"
    }
  ],
  "hypernyms": [
    {
      "word": "graphical model"
    },
    {
      "word": "probabilistic graphical model"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
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        "English countable nouns",
        "English entries with incorrect language header",
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        "English nouns",
        "English terms with IPA pronunciation",
        "English terms with non-redundant non-automated sortkeys",
        "en:Statistics"
      ],
      "glosses": [
        "A directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies. Each random variable can fall into any of at least two mutually disjoint states, and has a probability function which takes as inputs the states of its parent nodes and returns as output the probability of being in a certain state for a given combination of the states of its parent nodes. A node without parent nodes just has an unconditioned probability of being in some given state."
      ],
      "links": [
        [
          "statistics",
          "statistics"
        ],
        [
          "random variable",
          "random variable"
        ],
        [
          "conditional",
          "conditional probability"
        ]
      ],
      "raw_glosses": [
        "(statistics) A directed acyclic graph whose vertices represent random variables and whose directed edges represent conditional dependencies. Each random variable can fall into any of at least two mutually disjoint states, and has a probability function which takes as inputs the states of its parent nodes and returns as output the probability of being in a certain state for a given combination of the states of its parent nodes. A node without parent nodes just has an unconditioned probability of being in some given state."
      ],
      "topics": [
        "mathematics",
        "sciences",
        "statistics"
      ],
      "wikipedia": [
        "Bayesian network",
        "Thomas Bayes"
      ]
    }
  ],
  "sounds": [
    {
      "ipa": "/ˈbeɪ.zjən ˈnɛt.wɜːk/",
      "tags": [
        "UK"
      ]
    },
    {
      "ipa": "/ˈbeɪ.zjən ˈnɛt.wɝk/",
      "tags": [
        "US"
      ]
    }
  ],
  "word": "Bayesian network"
}